Software Defect Prediction by Online Learning Considering Defect Overlooking-Reference-Cited by-同舟云学术

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Software Defect Prediction by Online Learning Considering Defect Overlooking

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 34th International Symposium on Software Reliability Engineering Workshops (ISSREW)
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Author:

Yamasaki Yuta¹,Fedorov Nikolay²,Tsunoda Masateru¹,Monden Akito³,Tahir Amjed⁴,Bennin Kwabena Ebo⁵,Toda Koji⁶,Nakasai Keitaro⁷

Affiliation:

1. Kindai University,Higashi-Osaka,Japan

2. Dubna State University,Dubna,Russia

3. Okayama University,Okayama,Japan

4. Massey University,Palmerston North,New Zealand

5. Wageningen UR,Wageningen,Netherlands

6. Fukuoka Institute of Technology,Fukuoka,Japan

7. OMU College of Technology,Osaka,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10301191/10301280/10301300.pdf?arnumber=10301300

Reference6 articles.

1. An investigation of cross-project learning in online just-in-time software defect prediction

2. Researcher Bias: The Use of Machine Learning in Software Defect Prediction

3. Predicting defects using network analysis on dependency graphs

4. Using bandit algorithms for selecting feature reduction techniques in software defect prediction

5. Software Quality Assurance

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